Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAF3667523583E2E641B4BE8F390F7A5136D9161F95BD6A892FC223017CBC80F9279D8 |
|
CONTENT
ssdeep
|
1536:RNqJ1iNuOUOllllD2qfmllllStfpllllC3Gllll9OUOllllD2qfmllllltfplllV:uGeOs9I3eKlzWO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
890977f218cdcdc9 |
|
VISUAL
aHash
|
0000181818ffffff |
|
VISUAL
dHash
|
e9b3b2b3b3b2221c |
|
VISUAL
wHash
|
000018181bffffff |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
ccaa8eece0712b88,e9b3b2b3b3b2221c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 206 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.